FEA AI /ML Engineers

Innovative Numerics LLC; Remoto; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A specialized engineering technology company is seeking a CAE Machine Learning Engineer to accelerate product development through innovative design and validation capabilities. This fully remote position requires strong Python skills and a background in CAE/FEA. Ideal candidates have experience in structural simulation and machine learning. The role offers competitive compensation, flexible working hours, and the opportunity to shape future product direction at the intersection of machine learning and computational engineering.

Servizi

Competitive compensation based on experience

Flexible working hours

Competenze

• Strong hands-on experience with Python for scientific/engineering computing.
• Comfortable working across research, engineering, and customer needs in a fast-moving environment.
• Ability to work independently in a fully remote setting.

Mansioni

• Build tools and test harnesses.
• Improve reliability, performance, and usability.
• Create demos and technical collateral.
• Assist with pre-sales and technical discussions.
• Contribute to consulting engagements and custom software development.

Conoscenze

Python for scientific/engineering computing

CAE/FEA experience and terminology

Cross-time-zone collaboration

Strumenti

Abaqus FEA

Descrizione del lavoro

Job Title: CAE Machine Learning Engineer

Location: Remote

Role Summary

We are seeking a CAE Machine Learning Engineer to help accelerate Innovative Numerics’ product roadmap by designing, building, and validating capabilities for structural simulation and mechanical design workflows. This role spans applied research, software development, and customer‑facing technical work, including testing, pre‑sales support, and consulting.

Responsibilities

You will contribute to one or more of the following:

• building tools and test harnesses
• improving reliability, performance, and usability
• creating demos and technical collateral
• assisting with pre‑sales, technical discussions and evaluations
• contributing to consulting engagements (FEA problem framing, workflow setup, results interpretation)
• custom software development with Abaqus
• validate and benchmark methods on representative datasets, benchmarks, and real‑world customer use cases; document performance and limitations
• review and synthesize literature on applying machine learning and deep learning to mechanical design, structural simulation, and optimization problems; summarize best approaches and practical learnings for product use
• propose ML/DL architectures and workflows that capture domain‑specific heuristics for structural simulation and design optimization across diverse problem classes
• develop and integrate prototypes/frameworks using strong software engineering practices and deep learning libraries; contribute directly to product plans and timelines

Qualifications Required:

• Strong hands‑on experience with Python for scientific/engineering computing
• CAE/FEA experience and terminology (meshing, BCs, material models, solver outputs, interpretation)
• Comfort working across research, engineering, and customer needs in a fast‑moving environment
• Ability to work independently in a fully remote setting with cross‑time‑zone collaboration

Nice to Have Skills

• CAE background with exposure to structural simulation workflows
• Structural mechanics / computational mechanics
• Abaqus FEA experience (running jobs, post‑processing, automation, scripting, workflows)

What We Offer

• Fully remote role
• Opportunity to shape product direction at the intersection of ML and CAE
• Competitive compensation (based on experience and engagement type)
• Flexible working hours with some overlap with US team

About Innovative Numerics

Innovative Numerics LLC is a specialized engineering technology company focused on advanced simulation, computational mechanics, and applied AI in the cloud. Since 2013, we have helped leading consumer, technology, and industrial companies solve complex engineering problems. We work at the intersection of AI/ML, cloud infrastructure, and physics‑based simulation, in a small, high‑caliber team environment where engineers and researchers have real ownership, see the impact of their work quickly, and collaborate closely across predictive technologies, software, and infrastructure.

Seniority level: Entry level

Employment type: Full‑time

Job function: Engineering and Information Technology

Industries: Software Development